998 resultados para Scenario method


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The main objective of the paper is to provide a synopsis of global scenario and forecasting surveys. First, the paper will give an overview on existing global scenario and forecasting surveys and their specific scenario philosophies and storylines. Second, the major driving forces that shape and characterise the different scenarios will be identified. The scenario analysis has been provided for the research project Risk Habitat Megacity (HRM) that aims at developing strategies for sustainable development in megacities and urban agglomerations. The analysis of international scenario surveys is an essential component within RHM. The scenario analysis will be the basis and source for the development of own RHM-framework scenarios and for defining specific driving forces of change.

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This paper presents the Pseudo phase plane (PPP) method for detecting the existence of a nanofilm on the nitroazobenzene-modified glassy carbon electrode (NAB-GC) system. This modified electrode systems and nitroazobenze-nanofilm were prepared by the electrochemical reduction of diazonium salt of NAB at the glassy carbon electrodes (GCE) in nonaqueous media. The IR spectra of the bare glassy carbon electrodes (GCE), the NAB-GC electrode system and the organic NAB film were recorded. The IR data of the bare GC, NAB-GC and NAB film were categorized into five series consisting of FILM1, GC-NAB1, GC1; FILM2, GC-NAB2, GC2; FILM3, GC-NAB3, GC3 and FILM4, GC-NAB4, GC4 respectively. The PPP approach was applied to each group of the data of unmodified and modified electrode systems with nanofilm. The results provided by PPP method show the existence of the NAB film on the modified GC electrode.

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This paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.

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In this work, the shear modulus and strength of the acrylic adhesive 3M® DP 8005 was evaluated by two different methods: the Thick Adherend Shear Test (TAST) and the Notched Plate Shear Method (Arcan). However, TAST standards advise the use of a special extensometer attached to the specimen, which requires a very experienced technician. In the present study, the adhesive shear displacement for the TAST was measured using an optical technique, and also with a conventional inductive extensometer of 25 mm used for tensile tests. This allowed for an assessment of suitability of using a conventional extensometer to measure this parameter. Since the results obtained by the two techniques are identical, it can be concluded that using a conventional extensometer is a valid option to obtain the shear modulus for the particular adhesive used. In the Arcan tests, the adhesive shear displacement was only measured using the optical technique. This work also aimed the comparison of shear modulus and strength obtained by the TAST and Arcan test methods.

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It is important to understand and forecast a typical or a particularly household daily consumption in order to design and size suitable renewable energy systems and energy storage. In this research for Short Term Load Forecasting (STLF) it has been used Artificial Neural Networks (ANN) and, despite the consumption unpredictability, it has been shown the possibility to forecast the electricity consumption of a household with certainty. The ANNs are recognized to be a potential methodology for modeling hourly and daily energy consumption and load forecasting. Input variables such as apartment area, numbers of occupants, electrical appliance consumption and Boolean inputs as hourly meter system were considered. Furthermore, the investigation carried out aims to define an ANN architecture and a training algorithm in order to achieve a robust model to be used in forecasting energy consumption in a typical household. It was observed that a feed-forward ANN and the Levenberg-Marquardt algorithm provided a good performance. For this research it was used a database with consumption records, logged in 93 real households, in Lisbon, Portugal, between February 2000 and July 2001, including both weekdays and weekend. The results show that the ANN approach provides a reliable model for forecasting household electric energy consumption and load profile. © 2014 The Author.

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OBJECTIVE To estimate the budget impact from the incorporation of positron emission tomography (PET) in mediastinal and distant staging of non-small cell lung cancer.METHODS The estimates were calculated by the epidemiological method for years 2014 to 2018. Nation-wide data were used about the incidence; data on distribution of the disease´s prevalence and on the technologies’ accuracy were from the literature; data regarding involved costs were taken from a micro-costing study and from Brazilian Unified Health System (SUS) database. Two strategies for using PET were analyzed: the offer to all newly-diagnosed patients, and the restricted offer to the ones who had negative results in previous computed tomography (CT) exams. Univariate and extreme scenarios sensitivity analyses were conducted to evaluate the influence from sources of uncertainties in the parameters used.RESULTS The incorporation of PET-CT in SUS would imply the need for additional resources of 158.1 BRL (98.2 USD) million for the restricted offer and 202.7 BRL (125.9 USD) million for the inclusive offer in five years, with a difference of 44.6 BRL (27.7 USD) million between the two offer strategies within that period. In absolute terms, the total budget impact from its incorporation in SUS, in five years, would be 555 BRL (345 USD) and 600 BRL (372.8 USD) million, respectively. The costs from the PET-CT procedure were the most influential parameter in the results. In the most optimistic scenario, the additional budget impact would be reduced to 86.9 BRL (54 USD) and 103.8 BRL (64.5 USD) million, considering PET-CT for negative CT and PET-CT for all, respectively.CONCLUSIONS The incorporation of PET in the clinical staging of non-small cell lung cancer seems to be financially feasible considering the high budget of the Brazilian Ministry of Health. The potential reduction in the number of unnecessary surgeries may cause the available resources to be more efficiently allocated.

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This paper presents a methodology for applying scheduling algorithms using Monte Carlo simulation. The methodology is based on a decision support system (DSS). The proposed methodology combines a genetic algorithm with a new local search using Monte Carlo Method. The methodology is applied to the job shop scheduling problem (JSSP). The JSSP is a difficult problem in combinatorial optimization for which extensive investigation has been devoted to the development of efficient algorithms. The methodology is tested on a set of standard instances taken from the literature and compared with others. The computation results validate the effectiveness of the proposed methodology. The DSS developed can be utilized in a common industrial or construction environment.

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Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia

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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies

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This paper addresses the problem of optimal positioning of surface bonded piezoelectric patches in sandwich plates with viscoelastic core and laminated face layers. The objective is to maximize a set of modal loss factors for a given frequency range using multiobjective topology optimization. Active damping is introduced through co-located negative velocity feedback control. The multiobjective topology optimization problem is solved using the Direct MultiSearch Method. An application to a simply supported sandwich plate is presented with results for the maximization of the first six modal loss factors. The influence of the finite element mesh is analyzed and the results are, to some extent, compared with those obtained using alternative single objective optimization.

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The behavior of robotic manipulators with backlash is analyzed. Based on the pseudo-phase plane two indices are proposed to evaluate the backlash effect upon the robotic system: the root mean square error and the fractal dimension. For the dynamical analysis the noisy signals captured from the system are filtered through wavelets. Several tests are developed that demonstrate the coherence of the results.

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A distinção entre miocárdio atordoado e danificado tem sido uma preocupação relevante, no cenário de um enfarte agudo do miocárdio (EAM). A avaliação da viabilidade do miocárdio, pós-enfarte, é de importância vital, no contexto clínico, principalmente numa fase inicial. Actualmente a Ressonância Magnética Cardíaca é o exame de referência para a avaliação de viabilidade do miocárdio. No entanto, é um exame com elevado custo e de difícil acesso. Estudos preliminares demonstraram potencial na utilização de imagens por Tomografia Computorizada para avaliação da área de enfarte, quer em estudos animais quer em humanos. É objectivo desta tese verificar a utilidade de um protocolo de avaliação de viabilidade do miocárdio, com base em imagens de realce tardio (RT) por Tomografia Computorizada, após um procedimento de intervenção coronária percutânea, no contexto de enfarte agudo do miocárdio com elevação do segmento ST (STEMI). Pretende-se igualmente contribuir para a análise da imagem médica do miocárdio, proporcionando métodos de quantificação do RT e software de suporte à decisão médica nesta modalidade de imagem substancialmente recente. São avaliados vários processos para a quantificação do volume de RT, incluindo um método inovador baseado na detecção automática do miocárdio normal. _E ainda proposto um algoritmo para detecção automática do grau de transmuralidade, por segmento do miocárdio, e comparado o seu grau de eficiência face ao diagnóstico médico dos mesmos exames. Apesar do reduzido número de exames utilizado para validação das técnicas descritas nesta tese, os resultados são bastante promissores e podem constituir uma mais-valia no auxilio à gestão do paciente com EAM.

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One of the main difficulties related to the detection of the Hepatitis Delta Virus (HDV) antigen and antibody has been the source of the needed HD antigen since HDV containing human and animal livers are very difficult to obtain and since yield is low. This fact prompted us to try to use the serum of patients in the acute phase of HDV infection as a source of HDAg and turn to enzyme immunoassays (EIA) instead of RIA for the sake of easiness and economy in the amount of HDAg needed. The antigen for EIA was obtained from patients during the acute phase of HDV infection and the antibody from patients who have been carriers for many years. For the detection of the antigen, a sandwich type method was employed, whereas for the antibody a competition assay was developed. In order to assess the relative specificity and sensibility of the test, the antibody assay was compared to a commercial RIA (C. RIA, Abbott) and to a non-commercial RIA (NC RIA). Forty-two sera were tested by the two methods and only in two cases discrepant results were obtained. Its is concluded that: 1) sera from patients in the acute and chronic phases of HDV infection can be used as source of both antigen and antibody, for immunoassays; 2) EIA and RIA have comparable relative specificity and sensibility and 3) EIA is easier to perform, cheaper, non-hazardous, has a longer shelf-life and saves scarce HDAg.

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Based on the paper presented at the International Conference “Autonomous Systems: inter-relations of technical and societal issues”, organized by IET with the support of the Portuguese-German collaboration project on “Technology Assessment of Autonomous Robotics” (DAAD/CRUP) at FCT-UNL, Biblioteca da UNL, Campus de Caparica on 5-6 November 2009.

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Portugal é um país dependente da energia do exterior, devido à elevada percentagem de consumo de energia a partir de fontes primárias, como por exemplo o gasóleo. Para colmatar este cenário, têm vindo a criar-se incentivos para o uso de energias renováveis e para intensificação de medidas de eficiência energética, como os sistemas de cogeração, de forma a tornar os processos industriais nacionais mais autónomos e mais competitivos. O presente trabalho, centra-se na determinação do potencial térmico disponível na central de trigeração da empresa Monteiro, Ribas-Indústria, SA, com a finalidade de identificar a quantidade de energia não utilizada, com vista ao aproveitamento dessa mesma energia nos processos mais problemáticos da empresa. Verificou-se que a água líquida era a fonte de maior energia não aproveitada, representando cerca de 30%, relativamente à energia disponível na água de refrigeração que é de 1890 kW. Assim, perante este facto, fez-se um estudo em dois setores autónomos da empresa, o setor dos revestimentos e o setor dos componentes técnicos da borracha. Pretendeu-se propor medidas para melhorar os seus processos produtivos, aproveitando essa energia. Para o efeito foi projetado um permutador de calor de placas com necessidade energética de 131,4 MWh, no setor dos revestimentos e um permutador compacto no setor de produção de placas de borracha, necessitando de uma energia de 335,2 MWh. Face à energia disponível na central de trigeração, de 161,9 MWh, verifica-se que esta apenas poderá ser aproveitada no setor dos revestimentos. Para tornar este objetivo real, a empresa Monteiro, Ribas- Indústria, SA necessitaria de efetuar um investimento no total de 49.390€. Além disso, foi contabilizado o rendimento das caldeiras da central térmica e da cogeração, ambas pelo método direto, apresentando estas os valores de 72% e 42%, respectivamente.